An Algorithm for Computing Design Parameters of IFIR Filters with Low Complexity
This paper describes an algorithm for computing design parameters of Interpolated FIR (IFIR) digital filters with a low complexity (small number of products per output sample). The interpolation function is performed by a sharpened cascaded Recursive-Running Sum (RRS) filter, where the sharpening te...
| Autores: | , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2006 |
| País: | México |
| Recursos: | Instituto Tecnológico de Celaya |
| Repositorio: | Redalyc-ITC |
| OAI Identifier: | oai:redalyc.org:61500202 |
| Acesso em linha: | https://www.redalyc.org/articulo.oa?id=61500202 |
| Access Level: | acceso abierto |
| Palavra-chave: | Computación IFIR RRS filter Digital filters Narrowband filtering Sharpening technique |
| Resumo: | This paper describes an algorithm for computing design parameters of Interpolated FIR (IFIR) digital filters with a low complexity (small number of products per output sample). The interpolation function is performed by a sharpened cascaded Recursive-Running Sum (RRS) filter, where the sharpening technique is used to improve the RRS frequency domain characteristics. Given the desired filter specifications and a chosen sharpening polynomial, the proposed algorithm computes the maximum IFIR filter interpolation factor and the minimum number of stages of the RRS filter in such a way that the overall structure meets the desired specifications with the minimum complexity. |
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